Adding Evaluation Results

README.md

@@ -1,15 +1,15 @@
 ---
-base_model: mistralai/Mistral-7B-v0.1
+language:
+- en
+license: apache-2.0
 tags:
 - mistral
 - chatml
 - merge
+base_model: mistralai/Mistral-7B-v0.1
 model-index:
 - name: Lelantos-7B
   results: []
-license: apache-2.0
-language:
-- en
 ---
 
 # Lelantos - Mistral 7B
@@ -87,3 +87,17 @@ So far, I have only tested Lelantos on MT-Bench using the Hermes prompt and, boy
 ^1 xDAN's testing placed it 8.35 - this number is from my independent MT-Bench run.
 
 ![image/png](https://huggingface.co/SanjiWatsuki/Lelantos-7B/resolve/main/Assets/mt-bench-chart.png)
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_SanjiWatsuki__Lelantos-7B)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |72.78|
+|AI2 Reasoning Challenge (25-Shot)|69.03|
+|HellaSwag (10-Shot)              |86.90|
+|MMLU (5-Shot)                    |64.10|
+|TruthfulQA (0-shot)              |65.18|
+|Winogrande (5-shot)              |80.66|
+|GSM8k (5-shot)                   |70.81|
+